Minh‐Tan Pham

690 total citations
36 papers, 416 citations indexed

About

Minh‐Tan Pham is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Minh‐Tan Pham has authored 36 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Minh‐Tan Pham's work include Remote-Sensing Image Classification (16 papers), Advanced Neural Network Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Minh‐Tan Pham is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Advanced Neural Network Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Minh‐Tan Pham collaborates with scholars based in France, Türkiye and Taiwan. Minh‐Tan Pham's co-authors include Sébastien Lefèvre, Luc Courtrai, Chloé Friguet, Alexandre Baussard, Erchan Aptoula, Grégoire Mercier, Thomas Corpetti, Lionel Bombrun, Julien Michel and Nicolas Courty and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Minh‐Tan Pham

33 papers receiving 401 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minh‐Tan Pham France 11 237 184 84 60 52 36 416
Zhipeng Dong China 13 183 0.8× 193 1.0× 95 1.1× 60 1.0× 101 1.9× 35 450
Weiwei Sun China 4 237 1.0× 162 0.9× 75 0.9× 40 0.7× 64 1.2× 8 420
Yanan You China 9 129 0.5× 139 0.8× 88 1.0× 45 0.8× 37 0.7× 31 292
Yiming Yan China 13 219 0.9× 176 1.0× 139 1.7× 27 0.5× 76 1.5× 82 485
Nan Su China 13 222 0.9× 221 1.2× 140 1.7× 26 0.4× 70 1.3× 60 449
Ken Sakurada Japan 10 242 1.0× 231 1.3× 62 0.7× 60 1.0× 45 0.9× 25 467
Tianyang Shi China 11 301 1.3× 180 1.0× 36 0.4× 55 0.9× 27 0.5× 19 495
Wolfgang Middelmann Germany 8 125 0.5× 176 1.0× 51 0.6× 48 0.8× 54 1.0× 70 309
Debajyoti Dhar India 9 142 0.6× 136 0.7× 73 0.9× 45 0.8× 33 0.6× 44 294
Reza Bahmanyar Germany 10 138 0.6× 122 0.7× 47 0.6× 28 0.5× 65 1.3× 29 288

Countries citing papers authored by Minh‐Tan Pham

Since Specialization
Citations

This map shows the geographic impact of Minh‐Tan Pham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minh‐Tan Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minh‐Tan Pham more than expected).

Fields of papers citing papers by Minh‐Tan Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh‐Tan Pham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minh‐Tan Pham. The network helps show where Minh‐Tan Pham may publish in the future.

Co-authorship network of co-authors of Minh‐Tan Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Minh‐Tan Pham. A scholar is included among the top collaborators of Minh‐Tan Pham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minh‐Tan Pham. Minh‐Tan Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pham, Minh‐Tan, et al.. (2025). YOLO-G3CF: Gaussian Contrastive Cross-Channel Fusion for Multimodal Object Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
2.
Pham, Minh‐Tan, et al.. (2024). FedShip: Federated Learning for Ship Detection From Multi-Source Satellite Images. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
3.
Pham, Minh‐Tan, et al.. (2024). Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 3 indexed citations
4.
Pham, Minh‐Tan, et al.. (2024). Variational Autoencoder with Gaussian Random Field prior: Application to unsupervised animal detection in aerial images. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 600–609. 2 indexed citations
5.
Pham, Minh‐Tan, et al.. (2023). Self-training and multi-task learning for limited data: evaluation study on object detection. 33. 1003–1009. 2 indexed citations
6.
Pham, Minh‐Tan, et al.. (2023). Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets. SPIRE - Sciences Po Institutional REpository. 6194–6197. 3 indexed citations
7.
Pham, Minh‐Tan, et al.. (2023). Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. 5391–5394. 1 indexed citations
8.
Pham, Minh‐Tan, et al.. (2022). Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 2574–2591. 4 indexed citations
9.
Pham, Minh‐Tan, et al.. (2022). Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4980–4989. 7 indexed citations
10.
Pham, Minh‐Tan, et al.. (2022). Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. Remote Sensing. 14(15). 3689–3689. 5 indexed citations
11.
Pham, Minh‐Tan, et al.. (2022). Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Pham, Minh‐Tan, et al.. (2021). Classification of Remote Sensing Data With Morphological Attribute Profiles: A decade of advances. IEEE Geoscience and Remote Sensing Magazine. 9(3). 43–71. 12 indexed citations
13.
Courtrai, Luc, Minh‐Tan Pham, & Sébastien Lefèvre. (2020). Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks. Remote Sensing. 12(19). 3152–3152. 90 indexed citations
14.
Pham, Minh‐Tan, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, & Alexandre Baussard. (2020). YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. Remote Sensing. 12(15). 2501–2501. 119 indexed citations
15.
Pham, Minh‐Tan, et al.. (2020). Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models. IEEE Geoscience and Remote Sensing Letters. 17(11). 2016–2019. 16 indexed citations
16.
Pham, Minh‐Tan. (2018). Fusion of Polarimetric Features and Structural Gradient Tensors for VHR PolSAR Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(10). 3732–3742. 6 indexed citations
17.
Pham, Minh‐Tan, et al.. (2018). Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification. IEEE Geoscience and Remote Sensing Letters. 15(7). 1125–1129. 9 indexed citations
18.
Pham, Minh‐Tan, Grégoire Mercier, & Lionel Bombrun. (2017). Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance. Journal of Imaging. 3(4). 43–43. 14 indexed citations
19.
Pham, Minh‐Tan, Erchan Aptoula, & Sébastien Lefèvre. (2017). Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1). 249–256. 18 indexed citations
20.
Pham, Minh‐Tan, Sébastien Lefèvre, & Erchan Aptoula. (2017). Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 56(2). 1199–1212. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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